विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| शिक्षा अनुसंधान में घटना अध्ययन डिज़ाइन× | पैनल डेटा फिक्स्ड इफेक्ट्स मॉडल× | |
|---|---|---|
| क्षेत्र≠ | कारणात्मक अनुमान | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1993 (general); 2000s–2010s (education applications) | 2014 |
| प्रवर्तक≠ | Jacobson, LaLonde & Sullivan (1993); popularized in education by Lafortune, Rothstein & Schanzenbach (2018) and subsequent education-policy literature | Hsiao (textbook treatment); within transformation of panel data |
| प्रकार≠ | Quasi-experimental / causal inference | Panel data regression |
| मौलिक स्रोत≠ | Jacobson, L. S., LaLonde, R. J., & Sullivan, D. G. (1993). Earnings Losses of Displaced Workers. American Economic Review, 83(4), 685-709. link ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| उपनाम | event study, education event study, policy event study, dynamic difference-in-differences | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| संबंधित | 5 | 5 |
| सारांश≠ | An event study design tracks how educational outcomes evolve before and after a clearly defined event — such as a school finance reform, accountability policy, or curriculum change — for affected and unaffected units. By estimating period-by-period treatment effects relative to a baseline period, it delivers both a causal estimate of the policy's impact and a transparent test of the parallel-trends assumption underpinning difference-in-differences. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
| ScholarGateडेटासेट ↗ |
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